IJLLL 2024 Vol.10(2): 173-177
DOI: 10.18178/IJLLL.2024.10.2.507
On the Transitivity Analysis of Research Article Abstracts from Science
Rong Lin*, Mi Zhao, Jing Guo, Wenwen Liu, Qiong Jin, and Zijie Ma
Engineering University of PAP, Xi’an, Shannxi 710072, China
Email: linrong810@163.com (R.L.)
*Corresponding author
Manuscript received September 26, 2023; revised October 30, 2023; accepted November 28, 2023; published March 29, 2024
Abstract—Based on Halliday’s Systemic-Functional Grammar and transitivity theory, this study carries out an analysis in article abstracts of English for Science and Technology (EST), and randomly selects 30 abstracts as the original data from the latest periodical Science (Dec. 2022–Mar. 2023) with the instruments Qualitative Coder 1.1 and SPSS 22. Findings indicate that: 1) 30 abstracts only cover 5 transitivity processes; 2) constituent ratio differentiation of selected transitivity processes are statistically significant (X2 = 86.506,P < 0.05) ; 3) the study analyzes high-frequency verbs of transitivity processes aiming at offering English non-native scholars some guidelines in the writing of research article abstracts.
Keywords—abstract, high-frequency, transitivity
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Cite:Rong Lin, Mi Zhao, Jing Guo, Wenwen Liu, Qiong Jin, and Zijie Ma, "On the Transitivity Analysis of Research Article Abstracts from Science," International Journal of Languages, Literature and Linguistics vol. 10, no. 2, pp. 173-177, 2024.